GitHub / locuslab/convex_adversarial issues and pull requests
#36 - For version 2.0 i.e, original paper 2D.ipynb gives error
Issue -
State: open - Opened by aknirala almost 2 years ago
#35 - Support in dual_layers for MaxPool2d
Issue -
State: open - Opened by kkarrancsu almost 4 years ago
#34 - PGD attack error
Issue -
State: closed - Opened by jhss over 4 years ago
- 1 comment
#33 - Is it possible to define DualConvTranspose2d?
Issue -
State: closed - Opened by jhss over 4 years ago
- 1 comment
#32 - Lower bound on the robust radius
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State: closed - Opened by choltz95 almost 5 years ago
- 1 comment
#31 - epsilon in CIFAR10
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State: open - Opened by sungyoon-lee over 5 years ago
- 2 comments
#30 - Computation time
Issue -
State: open - Opened by sungyoon-lee over 5 years ago
- 7 comments
#29 - Loading the state_dict for a model
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State: closed - Opened by and-lap over 5 years ago
- 1 comment
#28 - can the pre-trained model get the 79.25%?
Issue -
State: closed - Opened by Equationliu almost 6 years ago
#27 - Which model should I use?
Issue -
State: closed - Opened by dongyp13 almost 6 years ago
- 1 comment
#26 - how to define a reshape layer?
Issue -
State: closed - Opened by Equationliu almost 6 years ago
- 1 comment
#25 - Question: Can this work for non-one hot labels?
Issue -
State: open - Opened by shaform over 6 years ago
#24 - Constructing a DualNetwork instance with an a single-element np.ndarray `epsilon` value fails.
Issue -
State: open - Opened by gauravmm over 6 years ago
#23 - Feature Request: Support PyTorch 1.0.0
Issue -
State: open - Opened by gauravmm over 6 years ago
#22 - models_scaled/cifar_small_2px.pth is missing
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State: closed - Opened by vtjeng over 6 years ago
#21 - scaled_models/mnist_large_0_1.pth appears to be for network of "small" architecture
Issue -
State: closed - Opened by vtjeng over 6 years ago
#20 - CIFAR Pretrained model?
Issue -
State: closed - Opened by chenhongge almost 7 years ago
#19 - CIFAR pretrained model?
Issue -
State: closed - Opened by chenhongge almost 7 years ago
- 1 comment
#18 - cannot import name robust_loss_batch
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State: closed - Opened by hope-yao almost 7 years ago
- 2 comments
#17 - GPU Out of memory when switching from regular to robust training
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State: closed - Opened by stefanwebb almost 7 years ago
- 2 comments
#16 - Get stuck in training cifar10 on pytorch 0.4.0
Issue -
State: closed - Opened by cxmscb almost 7 years ago
- 3 comments
#15 - it is possible to change conv2d's padding to zero?
Issue -
State: open - Opened by cxmscb almost 7 years ago
- 4 comments
#14 - Get stuck in fashion_mnist.py on pytorch 0.4.0
Issue -
State: closed - Opened by cxmscb almost 7 years ago
#13 - Add None-cases for nonapplicable layers for layers
Issue -
State: closed - Opened by riceric22 about 7 years ago
#12 - Question: Support for non-straight network shapes?
Issue -
State: open - Opened by progirep about 7 years ago
- 7 comments
#11 - Compatibility Fix for Non-CUDA devices
Pull Request -
State: closed - Opened by progirep about 7 years ago
- 1 comment
#10 - Unable to load the .pth files?
Issue -
State: closed - Opened by VSehwag about 7 years ago
- 2 comments
#9 - Using `nn.Sequential` as the identity function fails with exception.
Issue -
State: closed - Opened by gauravmm about 7 years ago
#8 - Add warning if provided network is not a sequential module
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State: closed - Opened by riceric22 about 7 years ago
#7 - DualReLU.affine uses CUDA specific code
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State: closed - Opened by riceric22 about 7 years ago
#6 - example errors
Issue -
State: closed - Opened by andrewcz about 7 years ago
- 5 comments
#5 - exact settings to reproduce 5.82% robust error for MNIST
Issue -
State: closed - Opened by gwding over 7 years ago
- 5 comments
#4 - Port code to PyTorch 0.4
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State: closed - Opened by riceric22 over 7 years ago
- 1 comment
#3 - `.pth` files not available
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State: closed - Opened by vtjeng over 7 years ago
- 1 comment
#2 - Training using examples/mnist.py appears to get stuck - with default configuration and various other configurations
Issue -
State: closed - Opened by kaixiao over 7 years ago
- 2 comments
#1 - `MaskedSelect can't differentiate the mask` with torch 0.3.0 and 0.3.1
Issue -
State: closed - Opened by vtjeng over 7 years ago
- 2 comments